Lecturer in Quantitative Methods

University of the Arts London, London College of Fashion

To equip students to become professional managers within industry, we rely on an outstanding academic team who are as imaginative, forward-thinking and visionary, as they are knowledgeable and informed: people with hands-on experience of their industry and a keen eye on the future. You will work within the broad area of business intelligence, which includes quantitative methods and statistics, financial analysis and other applications and technologies for accessing, gathering, analysing, and storing data.

This is your chance to teach methods that fashion businesses can use to solve problems and make better decisions. You will undertake teaching, unit management, and curriculum development in the area of quantitative methods while contributing to research, scholarly activity, and professional practice in this area.

Why choose us?

University of the Arts London is a vibrant world centre for innovation, drawing together six Colleges with international reputations in art, design, fashion, communication and performing arts.

London College of Fashion is extremely proud to be a global leader in fashion education, research and consultancy. Much of its success is down to its dedicated employees, and you will play an important role in shaping future creative professionals, and impact on the future of so many creative industries.

Your profile

You will have a Master’s degree in a relevant subject area (e.g. economics, finance, business studies, quantitative methods, accountancy, or similar) with significant competence in quantitative data analysis.

Experience of working with data either in a financial/statistical business environment or through experience in quantitative research is essential. Ideally this will be matched by professional experience recognised by membership of a professional body (e.g ACA/ CIMA/ ACCA/ CIPFA/ CMI or equivalent). An excellent communicator, you will have the expertise and insight to adapt your style, approach, content, and learning materials to suit the needs of your students.

A working knowledge of SPSS is also essential for this role.

For further details and to apply please click the “apply” button.

Closing date: 12 December 2017.

At UAL, everyone's identity matters. We are committed to creating a supportive and inclusive environment for all our diverse students, staff, and the creative and cultural sector partners with whom we engage. We aim to take every opportunity to progress equality and diversity, and celebrate the enrichment this brings to our community.

Candidates are advised to submit applications early to avoid disappointment as we reserve the right to close vacancies prior to the advertised closing date.

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